Senior Software Engineer jobs at NANA - 1064 jobs

A leading retail company is seeking a Senior Software Engineer to lead the delivery of scalable software solutions. The role involves managing feature implementation, integrating AI/ML components, and ensuring high-quality deliverables in a collaborative environment. The ideal candidate possesses strong Java/J2EE and Python skills, a solid understanding of software development lifecycles, and a commitment to mentorship and continuous improvement. Competitive salary range between $117,000 and $234,000, with comprehensive benefits including health and education support. #J-18808-Ljbffr

What you'll do... Application & Feature Delivery: Owns scoped feature or model delivery through collaborative engineering teams. Manages implementation, iteration, testing, and ongoing support for assigned services, APIs, user interfaces, or ML model components. Operates with a product-driven mindset and aligns outcomes with broader platform, system, and domain objectives. Software Development & Lifecycle Execution: Design, develop, and maintain advanced Android applications using Kotlin and Java. Collaborate with product managers, designers, and backend engineers to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs to improve application performance. Write clean, maintainable, and well‑documented code following best practices. Participate in code reviews and provide constructive feedback to peers. Mentor and guide junior engineers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest Android development trends, tools, and technologies. Contribute to architectural decisions and help drive technical direction for the team. Work with CI/CD pipelines and automated testing frameworks to ensure robust delivery. AI/ML Integration & GenAI Enablement: Integrates AI agents and ML components using internal and external APIs to enhance software intelligence. Leverages GenAI tools such as GitHub Copilot to improve development velocity and innovation. Applies object‑oriented programming principles and documentation‑based coding practices to ensure modularity, maintainability, and consistency. Solution Design & Technical Leadership: Assists in converting high‑level designs into detailed designs using mock screens, pseudo code, and functional logic. Evaluates trade‑offs and designs scalable, secure, and maintainable software systems aligned with Walmart's standards. Participates in design reviews and ensures the implementation of appropriate design patterns and principles. Demonstrates continuous learning and supports peer growth through mentorship and knowledge sharing. Customer/Associate Problem Definition & Metrics: Engages stakeholders to identify and refine complex business or user problems. Translates pain points into actionable technical requirements and defines clear metrics to measure solution success and impact. Collaborates with cross‑functional teams to ensure the delivered solutions meet user needs and technical expectations. DevOps & Program Monitoring: Conducts complex maintenance procedures and monitors application performance using appropriate metrics and tools. Ensures adherence to project milestones and timelines through program reporting, CI/CD tools, and program logging systems. Supports the delivery of high‑quality and reliable software systems through proactive monitoring, testing, and continuous integration practices. Engineering Excellence: Promotes a collaborative engineering mindset focused on continuous improvement and team wellbeing. Contributes to innovation strategies, internal knowledge sharing, and platform enhancement through engineering best practices. Supports system uptime, performance, and customer experience by owning the quality and performance of delivered features. Technical Ownership: Demonstrates responsibility for deliverables, ensuring solutions meet quality standards and business objectives. Takes initiative to resolve issues and drive projects to completion. Technical Judgment: Applies sound reasoning to make informed technical decisions, balancing trade‑offs and considering long‑term impacts on system architecture and business goals. Change Agility: Adapts quickly to change, embraces new technologies, and understands the broader system context. Anticipates the downstream effects of technical choices and integrates feedback to improve outcomes. Collaboration: Works effectively across teams, openly shares knowledge, and communicates complex ideas clearly to both technical and non‑technical stakeholders. Innovation & Continuous Improvement: Proactively seeks opportunities to enhance processes, tools, and products. Encourages experimentation and learning to drive ongoing improvement. Coordinates, completes, and oversees job‑related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and promoting a belonging mindset in workplace. Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices. Software Development, DevOps, Solution Design Respect the Individual: Demonstrates and encourages respect for all; builds a high‑performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best team members. Respect the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others' contributions and accomplishments. Respect the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross‑functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Act with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving). Act with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non‑retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values. Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self‑aware, honest, and transparent. Serve our Customers and Members: Deliver expected business results while putting the customer/member first and consistently applying an omni‑merchant mindset and acts with an Every Day Low‑Cost mindset to drive value and Every Day Low Prices for customers/members. Serve our Customers and Members: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team's strategy. Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk‑taking; and exhibits resilience in the face of setbacks. Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Health benefits include medical, vision and dental coverage Financial benefits include 401(k), stock purchase and company‑paid life insurance Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************* . Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Live Better U is a company paid education benefit program for full‑time and part‑time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short‑form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart (************************* . Sunnyvale, California US-11807: The annual salary range for this position is $117,000.00 - $234,000.00 Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). Minimum Qualifications Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area. Option 2: 5 years' experience in software engineering or related area. Preferred Qualifications Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location 815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people. #J-18808-Ljbffr

As a Senior Software Engineer at Walmart, you will lead the delivery of scalable software solutions by managing feature implementation, testing, and ongoing support within collaborative engineering teams. This role requires expertise in software development lifecycle, including coding, debugging, and continuous integration, while integrating AI/ML components to enhance platform capabilities. You will contribute to solution design, technical leadership, and cross-functional collaboration to meet business objectives. The position emphasizes innovation, quality, and operational excellence to drive impactful outcomes aligned with Walmart's strategic goals. About the team: Our team focuses on building and enhancing transportation execution capabilities across the supply chain. We enable efficient load creation, tendering, and automation for both Fleet and third-party carriers, ensuring scalability and operational excellence. By leveraging technology and process innovation, we drive cost optimization, improved visibility, and faster execution to support omnichannel growth. The team collaborates closely to deliver reliable, scalable software solutions that enhance supply chain performance and customer satisfaction. Continuous improvement, technical expertise, and a product-driven mindset are central to achieving our goals. What you'll do: Own delivery of scoped features and models through collaborative engineering teams, ensuring alignment with platform and domain objectives. Write clean, efficient, and reliable code across multiple languages, driving full software development lifecycle including CI/CD and automated testing. Integrate applied AI/ML components-leveraging GenAI tools and Python-to enhance software intelligence and accelerate development efficiency. Participate in solution design, conduct code reviews, and ensure scalable, secure, and maintainable systems. Collaborate with stakeholders to translate business needs into technical requirements and define success metrics. Monitor application performance, support defect management, and promote continuous improvement and innovation. Mentor peers, share knowledge, and uphold engineering best practices to maintain high-quality deliverables. What you'll bring: Demonstrated experience with Java/J2EE and Python, applying AI/ML techniques to production systems and building data-driven features backed by Azure Cosmos DB. Proven expertise in object-oriented programming and documentation-based coding practices. Strong experience delivering scoped features or models through collaborative engineering teams. Proficiency in software development lifecycle, including CI/CD, automated testing, and debugging. Ability to design scalable, secure, and maintainable software systems aligned with platform objectives. Skilled in integrating AI/ML components and leveraging generative AI tools to enhance development. Demonstrated problem-solving skills with a focus on customer and business needs. Effective collaboration and communication across technical and non-technical stakeholders. Commitment to continuous learning, mentorship, and engineering excellence. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area. Option 2: 5 years' experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people. #J-18808-Ljbffr

A leading software company in San Francisco seeks a skilled software developer to help build innovative supply chain solutions. You will be part of a driven team tackling exciting challenges using modern web and cloud technologies. Ideal candidates have 3+ years of experience in software, problem-solving abilities, and familiarity with frameworks like Typescript and React. Join us to make a significant impact and have fun while doing it. #J-18808-Ljbffr

Supply chain is broken. It's the basis of our entire economy, but it (barely)runs entirely on Excel and email. The best in class purpose-built tools are soold-school that nobody bothers using them. Sales people have Salesforce, HR has Workday, and Accounting has SAP. Us software people have the best tools becausewe know our problems and we're able to solve them! You could help build the future of supply chain software using the bleeding edgeof what the web and cloud have to offer. The Team We're a driven team, who've helped build some incredible companies (Tesla,Waymo, and Google X). And now we're tackling an exciting problem space with lotsof interesting problems. Reach out, and we'll chat for 15 minutes. And I promise you'll be hooked. Our team is small, but our ambitions are big. So we only hire the absolute bestand try to learn every day while having a lot of fun. Requirements 3+ years of software experience Ability to break down abstract problems into concrete solutions Familiarity with common abstractions/systems solutions Self-directed, should be just as comfortable getting involved in productdiscussions as engineering discussions Bonus Points Experience with Typescript, React, GraphQL, AWS tools, and/or Rust Experience in managing and deploying large-scale web applications Experience in building tools from scratch, understanding/minimizingdependencies Passionate about first principles thinking, best practices, and newtechnologies #J-18808-Ljbffr

The Job: We are seeking an exceptional and innovative Controls Engineer to design, develop, and implement control systems for our unmanned aerial vehicles (UAVs). The ideal candidate will have a strong background in control theory and hands‑on experience with UAV systems. Experience applying machine learning (ML) and deep learning (DL) to enhance autonomous navigation, path planning, and flight performance is a distinct advantage. What You'll Do: Flight Control System Design: Design, implement, and test advanced control algorithms for UAVs to ensure stability, maneuverability, and reliable performance. Modeling and Simulation: Create and maintain dynamic flight models for various UAV platforms to simulate and validate control strategies. Path Planning and Autonomy: Integrate path planning algorithms for autonomous navigation, obstacle avoidance, and optimal flight route generation. ML/DL Integration: Apply machine learning and deep learning techniques to enhance flight control and dynamic flight models. Embedded Systems: Develop and optimize robust, compute‑constrained code for embedded systems, ensuring reliability and real‑time performance. Hardware‑in‑the‑Loop (HIL) Testing: Conduct comprehensive system testing, including Hardware‑in‑the‑Loop simulations and flight testing, to validate control system performance. Troubleshooting and Optimization: Analyze flight data to troubleshoot system issues, optimize control parameters, and continuously improve overall performance. Collaboration: Work closely with cross‑functional teams, including mechanical, software, and systems engineers, to deliver high‑quality and reliable drone solutions. What You Bring: PhD or Masters in Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, or a related field. 2+ years of hands‑on experience in control system design, modeling, and simulation. Strong proficiency in programming languages like C++ and Python. Familiarity with embedded systems and real‑time operating systems. Bonus Points For: Hands‑on experience with UAVs, autopilots (e.g., PX4, ArduPilot, Betaflight), and sensor integration. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) for robotics or autonomous systems. Knowledge of computer vision principles and techniques. Familiarity with aviation regulations and safety protocols. What We Offer: Competitive Salary - Reflective of your skills and experience Equity Compensation - Be a part‑owner in the company's future Comprehensive Health Coverage - Including medical, dental, and vision plans Health Savings Account (HSA) - Optional pre‑tax savings for medical expenses Unlimited PTO - Flexible time off to recharge, plus paid company holidays About Us Seneca is eliminating the $1 trillion threat of wildfire across 500 million acres with AI‑powered autonomous drone systems. Imagine a world where firefighters can respond to a blaze in under 6 minutes using autonomous suppression technology. That's the world Seneca is building. We're combining the deep expertise of seasoned fire professionals with the innovation of billion‑dollar technology builders to create advanced systems that save lives, property, and natural resources. This is more than a job-it's a mission to transform safety across 500 million acres. Whatever your background, if you're a builder, an innovator, or a problem‑solver, you belong here. Don't meet every single requirement? If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply - you may still be the right fit for our team. #J-18808-Ljbffr

Why Harvey At Harvey, we're transforming how legal and professional services operate - not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched. Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle - from early thinking to long-term outcomes. We stay close to our customers - from leadership to engineers - and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us. At Harvey, the future of professional services is being written today - and we're just getting started. Role Overview As an Android Engineer, you\'ll be a technical leader on Harvey's mobile engineering team, building enterprise-grade AI experiences for legal professionals on Android devices. You\'ll architect and implement complex mobile features, mentor other engineers, and drive technical decisions that shape Harvey's mobile platform strategy. This role requires deep technical expertise across Android development, AI integration, and enterprise software. You\'ll work across multiple product lines, collaborating with our AI research, product, and backend engineering teams. You\'ll be part of an in-person team in San Francisco, solving complex problems at the intersection of AI, mobile development, and professional services. What You'll Do Design enterprise-scale Android applications using Kotlin and Jetpack Compose. Integrate real-time AI interactions and streaming capabilities. Build voice input and audio processing features for on-the-go professional workflows. Implement document handling and camera integration capabilities. Develop secure document viewing and annotation systems. Establish enterprise-grade security and authentication protocols. Create scalable collaboration features with advanced permission systems. What You Have 5+ YoE (post-BS/MS) in a product-focused Android engineering role. Proven track record shipping fast-growing products using Kotlin and Jetpack Compose. Experience building Android applications that support multiple product lines or complex enterprise workflows. Strong CS fundamentals and programming skills. Demonstrated attention to detail in building intuitive and polished mobile experiences. Compensation $238,000 - $290,000 USD Please find our CA applicant privacy notice here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai #J-18808-Ljbffr

A leading workplace safety AI company in San Francisco is looking for an Applications Engineer to develop core customer-facing products, including a web dashboard and a mobile application. Ideal for engineers with 0-4 years of experience, this hands-on role emphasizes mentorship and cross-functional collaboration in a dynamic work environment. Join us to enhance workplace safety with innovative AI solutions and enjoy competitive salary and benefits. #J-18808-Ljbffr

A leading construction firm is seeking a Senior Project Manager for Aviation in San Francisco. The ideal candidate will have extensive experience managing complex projects, excellent leadership and problem-solving abilities, and a solid educational background in engineering or construction management. Benefits include comprehensive health coverage, 401(k) with matching, and various voluntary options. Apply now to contribute to our innovative projects. #J-18808-Ljbffr

A leading engineering firm in Boston is seeking a Senior Mechanical Engineer to lead HVAC system designs for diverse projects. The ideal candidate has a Bachelor's degree, a PE license, and at least 8 years of experience in HVAC design. Responsibilities include overseeing design processes, ensuring compliance with codes, and mentoring junior engineers. The company offers a comprehensive benefits package and a collaborative work environment. #J-18808-Ljbffr

San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote Philo is building the future of television. Our product lets you watch your favorite shows on all the devices you care about, with seamless playback, insightful discovery, and effortless sharing. In short, we're building the TV experience that we've always wanted for ourselves. We're a company that puts people first - both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo aims to connect customers with their favorite shows, help them discover new favorites, and get them seamlessly into the video player watching their next shows. The Product API team is central to this mission and powers virtually every non-media interaction in our application delivering a personalized experience for millions of users across web, mobile, and connected TV platforms. We are seeking an enthusiastic, experienced backend engineer with a deep technical background building scalable APIs, services, and platform infrastructure. You will contribute to the technical vision and roadmap for Product API, drive architecture and reliability with strong observability, coordinate cross-team delivery to unblock new user experiences, and ensure partner integrations land smoothly. Responsibilities Provide technical leadership to members of the Product API team, including input on system architecture and design tradeoffs, as well as coaching other members of the team and mentoring new hires. Collaborate with product and client engineering teams to design and deliver GraphQL APIs that enable rich, performant user experiences while maintaining clean separation of concerns and optimal client-server interactions. Own and evolve critical product subsystems including recommendations, catalog, search, in-app notifications, user preferences, viewing history, collections, experiments, and feature flags. Build and maintain proxy and augmentation layers that integrate domain services from across the organization (such as video infrastructure, recommendations systems, and search) into a cohesive, unified API. Drive continuous improvements to the reliability, performance, scalability, and maintainability of Philo's product API infrastructure, ensuring sub-second response times and high availability across all endpoints. Collaborate with data science and product analytics teams to instrument the API layer for experimentation, A/B testing, and feature rollouts, enabling data-driven product decisions. Build and enhance observability tools to proactively monitor API performance, identify bottlenecks, debug issues, and ensure optimal cache utilization across the system. Work with infrastructure teams to optimize database queries, implement effective caching strategies, and ensure DataServer scales efficiently as Philo's user base grows. Qualifications 8+ years of software development experience. 2+ years of experience mentoring and providing technical guidance to other engineers (bonus points for experience or interest in managing engineering teams). Strong experience designing and implementing GraphQL APIs at scale (bonus points for experience with complex schema design, query optimization, and federation patterns). Proven track record of building highly efficient and highly available backend services using NodeJS, Ruby, Golang, Python, or similar programming languages. Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes, AWS). Deep understanding of API design principles, RESTful and GraphQL patterns, caching strategies, and performance optimization techniques. Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying with SQL. Strong systems thinking with the ability to design cohesive API abstractions that cleanly separate concerns while enabling flexibility for diverse client needs. Experience building proxy and aggregation layers that integrate multiple backend services into unified APIs. Familiarity with experimentation frameworks, feature flag systems, and A/B testing infrastructure. Experience and aptitude for collaborating and communicating with internal stakeholders across product, design, client platform engineering, and data science teams. Understanding of video streaming product ecosystems and the unique challenges of building APIs for multi-platform applications (web, mobile, TV). Expertise in either product-facing API development or machine learning systems and model serving infrastructure. Benefits Full health, dental and vision coverage for you and your family 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) Up to 20 weeks of fully paid parental leave Unlimited paid time off for vacation and sick leave $2,000 annual vacation bonus (we pay you to take a two week vacation) $5,250 annually for professional development and educational assistance $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) Free Gympass subscription - an all‑in‑one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps Location & Status Projected Start Date: ASAP Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote Compensation Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $189K - $215K Texas, Florida: $170K - $205K Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email ******************** and we'll work with you to meet your needs. #J-18808-Ljbffr

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD, to oversee technical development and team training. The ideal candidate will manage engineering processes, ensure compliance with industry standards, and promote innovation. A minimum of fifteen years in structural engineering is required, along with strong leadership and communication skills. This role offers a dynamic work environment with opportunities for professional growth. #J-18808-Ljbffr

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD. The role requires overseeing the engineering team, implementing industry standards, and providing mentorship to team members. The ideal candidate will have 15 years of experience in structural engineering and strong leadership skills. Proficient knowledge of CAD software and project management is essential for success in this position. Competitive compensation and opportunities for professional growth are offered. #J-18808-Ljbffr

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC's. We are looking for engineers who are excited by the thought of building a large scale video and data processing infrastructure from the ground up. As a software engineer on the platform team, you will be working directly on the systems that power our ML pipeline, Web platform, and Edge devices. You will leverage both your software and infrastructure engineering experience to lay the foundation for critical services our which customers depend on to make their workplaces safer. As part of the platform team you will collaborate with engineers on other teams to help ensure the reliability and availability of our product. #J-18808-Ljbffr

A technology firm revolutionizing workplace safety is seeking a motivated engineer to design systems supporting machine learning development. This role involves developing computer vision algorithms and streamlining workflows, requiring a bachelor's degree in Computer Science and expertise in Python or similar languages. Ideal for those passionate about enhancing workplace safety, this position offers competitive pay and multiple benefits, including health insurance and generous paid time off. #J-18808-Ljbffr

Who Are We Industrial labor is incredibly dangerous work-nearly 3 million people in the US are injured in the workplace each year due to entirely preventable and sometimes fatal or debilitating causes. Protecting these essential workers who power our world is what motivates Voxelitos, and we would love for you to join us. At Voxel, we are passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders identify unseen risks, make strategic decisions, and prevent workplace incidents before they occur. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehouses, and supply chain and logistics service providers. Based in SF with team members located all over the globe, Voxel is backed by industry-leading VCs. What You'll Do We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges. Responsibilities Develop and productionize state-of-the‑art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces. Implement and optimize computer vision techniques for high‑throughput, low‑latency applications on edge compute devices. Streamline ML data ingestion, retraining pipelines, and model redeployment workflows. Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments. Partner with Sales, Customer Success, and Field Engineering to architect ML‑driven solutions tailored to customer needs and deployment contexts. QualificationsMust-Haves Bachelor's degree in Computer Science, Robotics or a related field. Software development experience with proficiency in Python, Go‑Lang or C++. Ability to solve complex and open‑ended problems Familiarity with version control systems like Git (e.g., branching, merging, pull requests). Nice‑to‑Haves Master's or PhD in Computer Science, Robotics, or a related field. Coursework or research in computer vision or machine learning. 1-3 years of experience in software development. Experience with Docker, Bazel build system and/or AWS cloud services like EKS, S3, ECS Experience designing large, highly available distributed systems with Kubernetes. Experience working with monocular cameras - pose estimation, tracking and state estimation, object detection, segmentation. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well‑being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem‑solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in‑office, vibrant company events, team‑building. 401K retirement plan, HSA options, pre‑tax Commuter Card. #J-18808-Ljbffr

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC's. Voxel is looking for a driven and curious Junior Engineer to join our Platform team to help power the next generation of intelligent video analytics for workplace safety. In this role, you'll work on the systems that drive our real-time perception stack, from ingesting industrial video at scale to supporting machine learning pipelines and production-grade APIs. You'll collaborate across engineering, data science, and product teams to bring high-impact features to life. What You'll Do Contribute to the development and scaling of Voxel's perception and computer vision systems, powering real-time understanding of industrial environments Design and deploy distributed systems for video ingestion, processing, and inference across both edge devices and cloud infrastructure Build and secure cloud APIs, access control systems, and backend services that support the video platform and data pipelines Develop scalable and resilient services that enable low-latency event detection, real-time alerts, and historical video analytics Collaborate with cross-functional teams-including ML engineers, product managers, and researchers-to bring computer vision models into production Influence the team's technical direction and uphold high standards in code quality, system design, and operational excellence Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 0- 2 years of experience developing backend systems using REST APIs, containerized services, and microservices architecture Exposure to building and scaling distributed systems, with hands-on experience using Flink, Kafka, or Kinesis for real-time data processing Familiarity with designing and delivering production-ready systems in a collaborative team environment Working knowledge of infrastructure-as-code tools like Terraform and cloud platforms such as AWS, Azure, or GCP Experience contributing to machine learning or computer vision pipelines, particularly around data ingestion or processing infrastructure Practical experience using Kubernetes to deploy, monitor, and manage containerized workloads Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well‑being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem‑solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre‑tax Commuter Card. #J-18808-Ljbffr

Type: Full‑Time Who Are We Industrial labor is incredibly dangerous work-almost 3 million people in the U.S. are injured annually due to preventable, and at times, fatal or debilitating causes. Protecting these essential workers who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders see unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, and supply chain and logistics service providers. Based in SF with team members worldwide, Voxel is backed by industry-leading VCs. What You'll Do As an Applications Engineer at Voxel, you will build features for our core customer‑facing products, including our web dashboard and mobile application. You'll work closely with product, design, perception, and platform teams to translate complex AI insights into clear, actionable experiences for enterprise users. This is an ideal role for an engineer with 0-4 years of professional experience (or equivalent) who wants to grow quickly by pairing with senior engineers, owning features, and working across the application lifecycle. This is a hands‑on coding role with deep mentorship and significant impact. If you enjoy working across the application stack and solving customer‑facing problems, you'll thrive here. Responsibilities: Build and ship features across our web dashboard and (later) our React Native mobile app. Contribute to high‑impact roadmap initiatives including: Executive Hub - global multi‑facility operational visibility for enterprise leaders. Snapshots - proactive, subscription‑based safety insights (e.g., PPE compliance, collision risk, hotspot detection). Own parts of the application layer: APIs, data modeling, authentication, authorization, and UI behaviors. Collaborate with CV/ML & Platform Engineering Work with perception teams to understand AI outputs, define interface requirements, and ensure the right data is available to power new features. Troubleshoot and triage issues that require application + CV/ML context (e.g., mislabeled signals, missing detections, unexpected data patterns). Support scaling to new customer sites by integrating CV outputs into the application layer and validating customer‑facing behavior. Partner with Product, Design, Sales Engineering, and Customer Success to shape solutions for complex enterprise workflows. Surface edge cases, system failures, and user‑impacting issues, and collaborate with engineering teams to drive resolution. Participate in cross‑functional discussions on how to best present safety insights, model outputs, time‑series data, and corrective actions. Skills and Qualifications: Must‑Haves Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 0-4 years of Software engineering experience Strong experience in at least one of: Go, TypeScript, or Python (Python is especially valuable for CV/ML debugging workflows). Experience building or contributing to web applications and working on the application layer (APIs, authentication, access control, data flows). Strong debugging and problem‑solving skills across system boundaries. Familiarity with software engineering practices (Git, CI/CD, unit testing). Strong communication skills and comfort collaborating with multi‑disciplinary teams. Preferred Skills: Experience with Go + TypeScript + React together Experience with React Native Prior work on complex dashboards, enterprise web applications, or analytics products. Experience in companies ~50-500 people, where engineers own end‑to‑end product flows. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well‑being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem‑solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in‑office, vibrant company events, team‑building. 401K retirement plan, HSA options, pre‑tax Commuter Card. #J-18808-Ljbffr

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC's. Voxel is looking for a Staff Machine-Learning Infrastructure Engineer to drive the next wave of our computer-vision platform for workplace safety. You will be the technical owner for three pillars of our ML lifecycle - ground-truth data & labeling workflows, large-scale training infrastructure, and continuous model lifecycle management. If you excel at designing cloud-native, distributed systems that turn raw video into production-ready, version-controlled models, we'd love to meet you. What You'll Do Own data & labeling pipelines - architect scalable labeling services (storage, query, retrieval), design ontologies, automate annotation workflows, and build quality-tiered datasets that stay within cost constraints. Build and operate training infrastructure - create multi-GPU / multi-node training frameworks (Ray, Spark, Kubernetes), optimize distributed jobs, and integrate accelerators (TensorRT, CUDA-graph, FP8, etc.). Manage the full model lifecycle - stand up model registries, version control, evaluation suites, and continuous-learning loops that push updates from dev → staging → prod with zero-downtime rollbacks. Provide technical leadership, mentorship, and lightweight project management to a small infra + research squad. Establish DevOps-for-ML best practices (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely. Partner with ML engineers on architecture decisions, from data schemas to inference optimizations, ensuring infra and research road-maps stay tightly aligned. Qualifications (Must Haves) Bachelor's (or higher) in Computer Science, EE, or related field. 5+ years building and operating large-scale infrastructure, with at least 3 years focused on ML or data-intensive systems. Proven record designing highly available, distributed systems on Kubernetes (EKS, GKE, or on-prem). Deep expertise with orchestration (K8s operators, Argo, Kubeflow), and cluster-scale storage / compute (S3, GCS, Ray, Spark, Dask). Hands‑on experience automating data-labeling or ground‑truth workflows and maintaining dataset versioning. Strong software‑engineering fundamentals; familiar with best practices for testing, observability, and secure coding. Demonstrated DevOps mindset - IaC (Terraform/CDK), CI/CD (GitHub Actions, ArgoCD), metrics & alerting (Prometheus/Grafana). Nice‑to‑Haves Experience running multi-instance / multi-GPU training jobs, mixed-precision optimizations, or TensorRT / Triton inference. Familiarity with active-learning, continuous-training, or online distillation pipelines. Background in model registry tooling (MLflow, BentoML, SageMaker Registry) and evaluation dashboards. Prior work with computer-vision models (YOLO, DETR, Faster RCNN) or video understanding at scale. Contributions to open-source ML infra projects or published talks/blogs on MLOps. Exposure to edge-deployment or real-time inference systems. Experience shipping high quality production code in Python Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre-tax Commuter Card. #J-18808-Ljbffr